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» A Fully Distributed Framework for Cost-Sensitive Data Mining
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PKDD
1999
Springer
118views Data Mining» more  PKDD 1999»
13 years 12 months ago
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
Alexandr A. Savinov
ICAS
2006
IEEE
140views Robotics» more  ICAS 2006»
14 years 1 months ago
Control System Framework for Autonomous Robots Based on Extended State Machines
We present a new framework optimized for the design, implementation, and testing of control systems for autonomous robots. It is based on a new visual specification language whic...
Torsten Merz, Piotr Rudol, Mariusz Wzorek
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 1 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
14 years 1 months ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
FAST
2007
13 years 9 months ago
Proportional-Share Scheduling for Distributed Storage Systems
Fully distributed storage systems have gained popularity in the past few years because of their ability to use cheap commodity hardware and their high scalability. While there are...
Yin Wang, Arif Merchant